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Evaluation framework for domain-specific digital twin platforms.

Zhao Tang1, Dayuan Zhuang2, Jianjun Zhang3

  • 1State Key Laboratory of Rail Transit Vehicle System, Southwest Jiaotong University, Chengdu, 610031, China. tangzhao@swjtu.edu.cn.

Scientific Reports
|March 28, 2025
PubMed
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This study introduces a new framework for evaluating digital twin (DT) platforms, crucial for domain-specific applications. The Best-Worst Method-Fuzzy Comprehensive Evaluation (BWM-FCE) framework effectively assesses DT platform performance and selection.

Area of Science:

  • Engineering
  • Computer Science
  • Industrial Management

Background:

  • Digital twin (DT) applications are expanding across industries.
  • A lack of evaluation frameworks hinders the selection and development of DT platforms, especially for domain-specific uses.

Purpose of the Study:

  • To propose a comprehensive evaluation framework for digital twin platforms.
  • To focus on domain-specific applications and address the existing gap in evaluation methodologies.

Main Methods:

  • Utilized the Best-Worst Method and Fuzzy Comprehensive Evaluation (BWM-FCE).
  • Assessed digital twin platforms based on performance, user experience, and economic impacts.
  • Applied the framework to a high-speed train digital twin case study.
Keywords:
BWM-FCEDigital twin platformsDomain-specific digital twinEvaluation frameworkFuzzy comprehensive evaluation

Related Experiment Videos

Main Results:

  • The BWM-FCE framework demonstrated feasibility and effectiveness.
  • The proposed framework was compared against AHP and BWM-SPA evaluation methods.
  • Results validated the framework's potential for guiding DT platform development and selection.

Conclusions:

  • The BWM-FCE framework offers a robust solution for evaluating domain-specific digital twin platforms.
  • The study provides valuable insights for selecting and developing optimal digital twin solutions.
  • This research contributes to advancing the practical application and strategic implementation of digital twins.